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The Differential Relationship Between Finger Gnosis, and Addition and Subtraction: An fMRI Study

2017-11-27

Description: This dataset includes raw fMRI data from 24 second and third graders, and the analysis files (durations and the second-level unthresholded & thresholded spmT files). The tasks include single-digit addition and subtraction. Finger gnosis scores are also included to be used as a covariate of interest. The data was collected at the Imaging Research Facility at Indiana University, Bloomington.

Keywords: finger sense, finger gnosis, arithmetic, fMRI, embodied cognition, numerical cognition, mathematical development

Related Publication: Soylu, F., Raymond, D.R., Gutierrez, A.M., & Newman, S.D. (2017). The differential relationship between finger gnosis, and addition and subtraction: an fMRI study. Journal of Numerical Cognition, 3(3). doi:10.5964/jnc.v3i3.102

Access to dataset (Harvard Dataverse): http://dx.doi.org/10.7910/DVN/I7KP3V

Created by: Firat Soylu (fsoylu@ua.edu) on 11/27/2017. 


Please check the related publication for details about the study. The dataset includes the following files & compressed folders. 

subj_SUBJECTNUMBER: These folders include the raw functional images and the structural image for each of the 24 participants.

Analysis1_Add&Sub: This folder includes the second-level images (both thresholded and unthresholded) for the first analysis described in the paper, which involves the study of the correlations between finger gnosis (sense) scores and brain activations during addition and subtraction. The duration files show the onset and duration for each trial. The .mat files can directly be used in SPM using the "multiple conditions" option (just input the .mat duration files that have all the onsets and durations, separately for each subject).

Analysis2_Low&HighRT: This is the second analysis described in the paper. It is essentially the same analysis with the first one except instead of having addition and subtraction as the two conditions it involves trials with low RT and high RT (based on a median split).

FingerGnosis_Covariate.xlsx: This file has the finger gnosis scores for each subject. Please check the paper for a description of the task.